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oncmap

0.1.7Package record

Analyze Data from Electronic Adherence Monitoring Devices

0packages depend
5.7Kdownloads / year
94.6%test coverage
13/13flavors OK

Overview

About

Medication adherence, defined as medication-taking behavior that aligns with the agreed-upon treatment protocol, is critical for realizing the benefits of prescription medications. Medication adherence can be assessed using electronic adherence monitoring devices (EAMDs), pill bottles or boxes that contain a computer chip that records the date and time of each opening (or “actuation”). Before researchers can use EAMD data, they must apply a series of decision rules to transform actuation data into adherence data. The purpose of this R package ('oncmap') is to transform EAMD actuations in the form of a raw .csv file, information about the patient, regimen, and non-monitored periods into two daily adherence values -- Dose Taken and Correct Dose Taken.

Changes in 0.1.7
  • Updated read_input checking for headers -- ignore empty ones in the format.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.7
READMEYes · 132 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.7Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
7 (1 internal)includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

5.7K
CRAN downloads in the past year
Rank #12,921 · ~16/day · ~472/mo
Daily download trend is not available in this view yet.
32030 days
86990 days
5.7K1 year
Compare downloads with other packages →
Also on65 r2u5 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing oncmap adds 32 packages (18 with compiled code, 11 MB of source tarballs). Heaviest: readxl 2.1 MB, vctrs 1.0 MB, dplyr 902 KB.

Depends (1)
R >= 3.60
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.5 (2025)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.7Latest
    record
    2025-04-09 · current release · diff ↗
  • 0.1.5
    record
    2025-01-27
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-01-27
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.60
Bundled data
1.4 KB / 2 files
Download size
60 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("oncmap")
Kouril, M., Constance, M., Hommel, K., & McGrady, M. (2025). oncmap: Analyze Data from Electronic Adherence Monitoring Devices (Version 0.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.oncmap

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for oncmap version 0.1.7 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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